Comparative transcriptome and co-expression analysis reveal key genes involved in leaf margin serration in Perilla frutescens

被引:3
|
作者
Shen, Qi [1 ,2 ,3 ]
Zhang, Dong [2 ]
Zhang, Tian-yuan [2 ]
Xu, Yang-yang [4 ]
Zhao, De-gang [3 ]
机构
[1] Guangzhou Univ Chinese Med, Sch Pharmaceut Sci, Inst Med Plant Physiol & Ecol, Guangzhou 510006, Peoples R China
[2] China Acad Chinese Med Sci, Inst Chinese Mat Med, Beijing 100700, Peoples R China
[3] Guizhou Acad Agr Sci, Guiyang 550008, Peoples R China
[4] China Ctr Informat Ind Dev, Beijing 100036, Peoples R China
关键词
leaf shape development; Perilla frutescens (L.) Britt; transcriptome sequencing; wrinkly leaves; CELL-PROLIFERATION; EXPRESSION; COACTIVATOR; GROWTH;
D O I
10.1016/j.chmed.2019.10.001
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Objective: In this study, we aimed to identify the genes involved in leaf margin serration in Perilla frutescens. P. frutescens (Family: Lamiaceae) is widely grown in Asian countries. Perilla leaf is the medicinal part stipulated in the Chinese Pharmacopoeia. There are mainly two types of perilla leaves: one with serrated leaf margin which is the phenotype described in the pharmacopoeia and the other with smooth leaf margin. Methods: Transcriptome sequencing, co-expression analysis, and qRT-PCR analysis of six perilla tissues sampled from two different phenotypes (serrated and smooth leaves) were performed. Results: Forty-three differentially expressed genes (DEGs), which may potentially regulate leaf shape, were identified through de novo transcriptome sequencing between the two groups. Genes involved in leaf shape regulation were identified. Simultaneously, we validated five DEGs by qRT-PCR, and the results were consistent with the transcriptome data. In addition, 1186 transcription factors (TFs) belonging to 45 TF families were identified. Moreover, the co-expression network of DEGs was constructed. Conclusion: The study identified the key genes that control leaf shape by comparing the transcriptomes. Our findings also provide basic data for further exploring P. frutescens, which can help study the mechanism of leaf shape development and molecular breeding. (C) 2020 Tianjin Press of Chinese Herbal Medicines. Published by ELSEVIER B.V.
引用
收藏
页码:265 / 272
页数:8
相关论文
共 50 条
  • [31] Comparative transcriptome profiling and co-expression network analysis uncover the key genes associated withearly-stage resistance to Aspergillus flavus in maize
    Liu, Huanhuan
    Wu, Haofeng
    Wang, Yan
    Wang, Huan
    Chen, Saihua
    Yin, Zhitong
    BMC PLANT BIOLOGY, 2021, 21 (01)
  • [32] Comparative transcriptome profiling and co-expression network analysis uncover the key genes associated withearly-stage resistance to Aspergillus flavus in maize
    Huanhuan Liu
    Haofeng Wu
    Yan Wang
    Huan Wang
    Saihua Chen
    Zhitong Yin
    BMC Plant Biology, 21
  • [33] Identification of Key Genes Involved in Acute Myocardial Infarction by Comparative Transcriptome Analysis
    Sheng, Xiaodong
    Fan, Tao
    Jin, Xiaoqi
    BIOMED RESEARCH INTERNATIONAL, 2020, 2020
  • [34] Global transcriptome analysis uncovers the gene co-expression regulation network and key genes involved in grain development of wheat (Triticum aestivum L.)
    Qing Chi
    Lijian Guo
    Meng Ma
    Lijian Zhang
    Hude Mao
    Baowei Wu
    Xiangli Liu
    Ricardo H. Ramirez-Gonzalez
    Cristobal Uauy
    Rudi Appels
    Huixian Zhao
    Functional & Integrative Genomics, 2019, 19 : 853 - 866
  • [35] Global transcriptome analysis uncovers the gene co-expression regulation network and key genes involved in grain development of wheat (Triticum aestivum L.)
    Chi, Qing
    Guo, Lijian
    Ma, Meng
    Zhang, Lijian
    Mao, Hude
    Wu, Baowei
    Liu, Xiangli
    Ramirez-Gonzalez, Ricardo H.
    Uauy, Cristobal
    Appels, Rudi
    Zhao, Huixian
    FUNCTIONAL & INTEGRATIVE GENOMICS, 2019, 19 (06) : 853 - 866
  • [36] Transcriptome and co-expression network analyses reveal the regulatory pathways and key genes associated with temperature adaptability in the yellow drum (Nibea albiflora)
    Zhao, Xiang
    Sun, Zhicheng
    Xu, Hao
    Song, Na
    Gao, Tianxiang
    JOURNAL OF THERMAL BIOLOGY, 2021, 100
  • [37] Transcriptome and weighted gene co-expression network analysis of jujube (Ziziphus jujuba Mill.) fruit reveal putative genes involved in proanthocyanin biosynthesis and regulation
    Wenqiang Wang
    Yunfeng Pu
    Hao Wen
    Dengyang Lu
    Min Yan
    Minzhe Liu
    Minyu Wu
    Hongjin Bai
    Lirong Shen
    Cuiyun Wu
    FoodScienceandHumanWellness, 2023, 12 (05) : 1557 - 1570
  • [38] Transcriptome and weighted gene co-expression network analysis of jujube (Ziziphus jujuba Mill.) fruit reveal putative genes involved in proanthocyanin biosynthesis and regulation
    Wang, Wenqiang
    Pu, Yunfeng
    Wen, Hao
    Lu, Dengyang
    Yan, Min
    Liu, Minzhe
    Wu, Minyu
    Bai, Hongjin
    Shen, Lirong
    Wu, Cuiyun
    FOOD SCIENCE AND HUMAN WELLNESS, 2023, 12 (05) : 1557 - 1570
  • [39] Weighted gene co-expression network analysis reveals key genes involved in pancreatic ductal adenocarcinoma development
    Giulietti, Matteo
    Occhipinti, Giulia
    Principato, Giovanni
    Piva, Francesco
    CELLULAR ONCOLOGY, 2016, 39 (04) : 379 - 388
  • [40] Identification of key gene modules and genes in colorectal cancer by co-expression analysis weighted gene co-expression network analysis
    Wang, Peng
    Zheng, Huaixin
    Zhang, Jiayu
    Wang, Yashu
    Liu, Pingping
    Xuan, Xiaoyan
    Li, Qianru
    Du, Ying
    BIOSCIENCE REPORTS, 2020, 40